Citas bibligráficas
Chang, G., (2020). Propuesta de mejoramiento de la movilidad urbana en el distrito de san miguel a través de la implementación de estaciones de bicicletas públicas [Tesis, Universidad Peruana de Ciencias Aplicadas (UPC)]. http://hdl.handle.net/10757/655185
Chang, G., Propuesta de mejoramiento de la movilidad urbana en el distrito de san miguel a través de la implementación de estaciones de bicicletas públicas [Tesis]. PE: Universidad Peruana de Ciencias Aplicadas (UPC); 2020. http://hdl.handle.net/10757/655185
@misc{renati/394376,
title = "Propuesta de mejoramiento de la movilidad urbana en el distrito de san miguel a través de la implementación de estaciones de bicicletas públicas",
author = "Chang Ramírez, Giancarlo",
publisher = "Universidad Peruana de Ciencias Aplicadas (UPC)",
year = "2020"
}
This research addresses the problem of urban mobility in the district of San Miguel, and proposes a system of public bicycle stations as a sustainable transport alternative. In this way, optimal station locations were searched through a demand study and coverage analysis using location-allocation models. The demand was estimated through the trip generation method of the “Trip Generation Manual” using hourly distribution factors from NCHRP 365, which were adjusted by the mixed land use methodology proposed by the Fehr & Peers company. At the same time, a GIS model was developed with the geographic information of the district; on which the maximum coverage and minimum impedance location-assignment models were proposed, considering the implementation scenarios of 10, 25, 50 and 100 stations for each one. Additionally, surveys were conducted to identify the profile of cycling users in the San Miguel district and their interest in a public bicycle system; which results allow to validate the proposed system. Finally, the characteristics of each scenario were analyzed, and it was determined that the proposal of 100 stations with the maximum coverage model provides greater accessibility and improves urban mobility in terms of coverage at the district level by 77% and the sectorial average by 66%.
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